Resilient Operational Planning for Microgrids Against Extreme Events

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dc.contributor.authorZhao, Cunzhi
dc.contributor.authorSilva-Rodriguez, Jesus
dc.contributor.authorLi, Xingpeng
dc.date.accessioned2022-12-27T19:04:38Z
dc.date.available2022-12-27T19:04:38Z
dc.date.issued2023-01-03
dc.description.abstractThis paper proposes a novel resilience index, a microgrid survivability rate (SR) under extreme events, and then proposes a novel Resilient Operational Planning (ROP) algorithm to maximize the proposed resilience index SR. The proposed ROP algorithm can incorporate predetermined inverter failure probabilities and generate multiple scenarios accordingly to optimize resilient operations during an extreme event. The implemented ROP algorithm consists of two main steps: (i) optimization of resilient operational planning, and (ii) preventive resilience enhancement if minimum SR is not met per the analysis in step 1. A typical microgrid (MG) is studied to compare the proposed ROP algorithm against a traditional microgrid energy management (MEM) model. Results indicate that an enhanced resilience operation is achieved by the ROP algorithm, which is demonstrated by the quantification of resilience via the SR. Moreover, the proposed ROP algorithm is able to obtain a greater SR overall compared to that achieved by the traditional MEM, and this benefit of using the proposed ROP increases as the inverter failure probabilities increase.
dc.format.extent7
dc.identifier.doi10.24251/HICSS.2023.315
dc.identifier.isbn978-0-9981331-6-4
dc.identifier.urihttps://hdl.handle.net/10125/102946
dc.language.isoeng
dc.relation.ispartofProceedings of the 56th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDistributed, Renewable, and Mobile Resources
dc.subjectcommunity microgrid
dc.subjectextreme event
dc.subjectfailure probability
dc.subjectinverter failure
dc.subjectresilient operational planning
dc.titleResilient Operational Planning for Microgrids Against Extreme Events
dc.type.dcmitext
prism.startingpage2545

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